Application of Cloud Computing in Industrial Internet of Things

Dear Colleagues,

The Internet of Things (IoT) has become a global network that interconnects an extensive range of devices, enabling them to collect and exchange data, thereby facilitating advancements across a large number of sectors. The Industrial Internet of Things (IIoT) builds upon this interconnected fabric, specifically tailored to industrial environments, where it enhances operational efficiency by integrating machine learning and big data technology to harness sensor data, machine-to-machine (M2M) communication, and automation technologies. Cloud computing serves as the cornerstone of the IIoT infrastructure, providing a dynamic, scalable, and powerful platform for data processing and analytics. The integration of cloud computing into the IIoT paradigm is instrumental in reducing decision-making latency, optimising resources, and enhancing privacy protection.

This Special Issue invites academics, professionals, and business experts to exchange knowledge in this rapidly growing field. It comprehensively covers the most recent developments in the closely linked topics of Industrial Internet of Things and cloud computing.

Researchers are encouraged to contribute their unpublished original findings on the following topics, although they are not limited to them:

• Cloud-based big data analytics and machine learning in IIoT;
• Cloud service models for IIoT device management;
• Digital twins using the cloud for IIoT;
• Security and privacy of cloud-based IIoT;
• Energy-efficient cloud computing in IIoT;
• Impact of 5G/6G on cloud-integrated IIoT;
• Blockchain as a cloud service for IIoT;
• Edge computing in IIoT;
• Cloud-driven supply chain optimisation in IIoT;
• Optimisation of algorithms for cloud-based IIoT systems;
• Cloud-enhanced smart manufacturing and robotics.

We look forward to receiving your contributions. 

Dr. Muhammad Kazim
Dr. Mujeeb Ur Rehman
Dr. Stefan Kuhn
Guest Editors

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• cloud computing
• internet of things
• industrial internet of things
• security and privacy
• big data analytics
• machine learning
• digital twins
• supply chain optimisation
• smart manufacturing and robotics
• blockchain
• edge computing